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Product-minded engineers who blend product thinking with technical execution are increasingly in demand, especially as AI tools generate more code. A new O'Reilly book by Drew Hoskins, a veteran engineer turned product manager, provides a comprehensive guide to developing this skillset. The book emphasizes that well-crafted error messages and warnings are often a product's primary interface, requiring engineers to understand both system behavior and user context. Key techniques include categorizing errors by scenario (system, user argument, precondition, developer argument, assertion), raising errors at API boundaries where full context exists, making messages actionable with specific suggestions, and shifting diagnostics left through upfront validation, static checks, and test modes. The approach combines technical precision with user empathy to create diagnostics that help users understand what happened and what to do about it.